Senior Data Engineer(Snowflake, ETL)

Responsibilities

• Develop and optimize cloud-based data storage and processing solutions using Snowflake.
• Design, implement, and maintain robust data pipelines and ETL processes
• Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.
• Ensure data integrity and security across all data workflows and storage solutions.
• Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
• Develop reusable and modular stored procedures and scripts for data processing.
• Contribute to the development and implementation of data governance and best practices.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Implement best practices for data governance, data quality, and metadata management.

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• Minimum of 5 years of experience in data engineering or a related role
• Proven experience with Snowflake is required
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks)
• Strong proficiency in SQL and database management
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with version control (Git) and CI/CD for data pipelines
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities

Benefits

• :mortar_board:
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• :lock:
• :computer:
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• :handshake:
• :mag:
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• :file_cabinet: